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HIS
2008
13 years 10 months ago
Genetic-Based Synthetic Data Sets for the Analysis of Classifiers Behavior
In this paper, we highlight the use of synthetic data sets to analyze learners behavior under bounded complexity. We propose a method to generate synthetic data sets with a specif...
Núria Macià, Albert Orriols-Puig, Es...
SCAM
2008
IEEE
14 years 3 months ago
Automatic Determination of May/Must Set Usage in Data-Flow Analysis
Data-flow analysis is a common technique to gather program information for use in transformations such as register allocation, dead-code elimination, common subexpression elimina...
Andrew Stone, Michelle Strout, Shweta Behere
ICMLA
2008
13 years 10 months ago
An Improved Generalized Discriminant Analysis for Large-Scale Data Set
In order to overcome the computation and storage problem for large-scale data set, an efficient iterative method of Generalized Discriminant Analysis is proposed. Because sample v...
Weiya Shi, Yue-Fei Guo, Cheng Jin, Xiangyang Xue
BMCBI
2007
157views more  BMCBI 2007»
13 years 9 months ago
Improving gene set analysis of microarray data by SAM-GS
Background: Gene-set analysis evaluates the expression of biological pathways, or a priori defined gene sets, rather than that of individual genes, in association with a binary ph...
Irina Dinu, John D. Potter, Thomas Mueller, Qi Liu...
PAMI
2006
111views more  PAMI 2006»
13 years 8 months ago
Global Segmentation and Curvature Analysis of Volumetric Data Sets Using Trivariate B-Spline Functions
This paper presents a method to globally segment volumetric images into regions that contain convex or concave (elliptic) iso-surfaces, planar or cylindrical (parabolic) iso-surfa...
Octavian Soldea, Gershon Elber, Ehud Rivlin